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            <span style="color: #fff; font-size: 1.2em; line-height: 8.2vh">国际气候观测站</span>
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    <h1>Background</h1>
    <p>
      As an informal group of space agencies and international organizations,
      the Space Climate Observatory (SCO) International Initiative addresses
      the need to step up international coordination for accurate assessment
      and monitoring of the consequences of climate change from observations
      and numerical models. By conceiving methodologies that combine various
      data sources to provide scenarios for action, the SCO aims to become an
      important tool for decision-making on preparedness, adaptation and
      resilience to the impacts of climate change at the local level.
    </p>
    <section>
      <h2>Project Status</h2>
      <ol>
        <li>
          <h3>(1) The end-user(s) of the proposed project/service</h3>
          <ul>
            <li>
              <p>
                <strong>Government: </strong>
                provide the government departments with relevant information
                on coastline changes and soil quality changes caused by the
                impact of climate change, so as to support government
                decision-making;
              </p>
            </li>
            <li>
              <p>
                <strong>Jiangsu Agricultural Reclamation Group (JARG):</strong>
                provide technical support of the agricultural development
                within the tideland and saline-alkali land for JARG;
              </p>
            </li>
            <li>
              <p>
                <strong>University & Scientific Research Institution:</strong>
                provide relevant research data and models for the above
                institutions.
              </p>
            </li>
          </ul>
        </li>
        <li>
          <h3>(2) Data used in the project</h3>
          <ul>
            <li>
              <p>
                <strong>Gaofen Satellite Series data: </strong>
                GF-1, GF-2, GF-3, GF-4, GF-6.
              </p>
            </li>
            <li>
              <p>
                <strong>Other Satellite data:</strong>Landsat-8, HJ1A/B,
                Sentinel-2.
              </p>
            </li>
            <li>
              <p>
                <strong>Field Measurement Data and Documentation: </strong>
                Thematic data such as port development data, agricultural
                planting area data, land area data, and social demographic
                data.
              </p>
            </li>
          </ul>
        </li>
        <li>
          <h3>(3) Pilot partners involved in your project</h3>
          <ul>
            <li>
              <p>
                Aerospace Information Research Institute, Chinese Academy of
                Science
              </p>
            </li>
            <li>
              <p>Jiangsu Institute of Surveying and Mapping</p>
            </li>
            <li>
              <p>Jiangsu Agricultural Reclamation Group</p>
            </li>
          </ul>
        </li>
        <li>
          <h3>(4) The “scalability” and “transportability” of the project</h3>
          <p style="padding: 0 2em">
            This project has the good ability for scalability and
            transportability because of the public data, the robust
            algorithms, the open software, and the vast application scenarios.
            The model and software can be applied to soil quality assessment
            of relevant areas, coastline extraction, and the relationship
            mining between them in other coastal areas of China and even the
            world, which provides technical support for agricultural
            development and food security in coastal tidal areas.
          </p>
        </li>
        <li>
          <h3>(5) The key strengths of the project</h3>
          <ul style="padding: 0 2em">
            <li>
              Analysing the impact of climate change on coastline changes.
            </li>
            <li>
              Mining the relationship between shoreline change and soil
              salinization.
            </li>
            <li>
              Exploring the Influence of LUCC evolution and precipitation on
              soil quality.
            </li>
          </ul>
        </li>
      </ol>
    </section>
    <!-- 参考文献 -->
    <section>
      <h2>参考文献</h2>
      <ol>
        <li>
          [1] Abdou B , Al-Ali Z M . Assessing Climate Change Impact on Soil
          Salinity Dynamics between 1987-2017 in Arid Landscape Using Landsat
          TM, ETM+ and OLI Data[J]. Remote Sensing, 2020, 12(17)(soil
          salinity):2794.
        </li>
        <li>
          [2] El-Nahry A H , Doluschitz R . Climate change and its impacts on
          the coastal zone of the Nile Delta, Egypt[J]. Environmental Earth
          Sciences, 2010, 59(7):1497-1506.
        </li>
        <li>
          [3] Chen Z Z . Climate change impacts and adaptation for saline
          agriculture in north Jiangsu Province, China[J]. Environmental
          Science & Policy, 2013.
        </li>
        <li>
          [4] Corwin D L . Climate change impacts on soil salinity in
          agricultural areas[J]. European Journal of Soil Science, 2020.
        </li>
        <li>
          [5] Dagar J C , Sharma P C , Chaudhari S K , et al. Climate Change
          vis-a-vis Saline Agriculture: Impact and Adaptation Strategies[M].
          Springer India, 2016.
        </li>
        <li>
          [6] Chen J , Mueller V . Coastal climate change, soil salinity and
          human migration in Bangladesh[J]. Nature Climate Change, 2018.
        </li>
        <li>
          [7] Eswar D , Karuppusamy R , Chellamuthu S . Drivers of soil
          salinity and their correlation with climate change[J]. Current
          Opinion in Environmental Sustainability, 2021.
        </li>
        <li>
          [8] Simas T , Nunes J P , Ferreira J G . Effects of global climate
          change on coastal salt marshes[J]. Ecological Modelling, 2001,
          139(1):1-15.
        </li>
        <li>
          [9] Rahman M S , Di L , Yu E G , et al. Impact of Climate Change on
          Soil Salinity: A remote sensing based investigation in Coastal
          Bangladesh[C]// 2018 7th International Conference on
          Agro-geoinformatics (Agro-geoinformatics). IEEE, 2018.
        </li>
        <li>
          [10] Gorji T , Yldrm A , Sertel E , et al. Remote sensing approaches
          and mapping methods for monitoring soil salinity under different
          climate regimes[J]. International Journal of Environment and
          Geoinformatics, 2019, 6(1):33.
        </li>
        <li>
          [11] Elia Scudiero, Dennis L. Corwin, Ray G. Anderson, Kevin Yemoto,
          Wesley Clary, Zhi “Luke” Wang and Todd H. Skaggs. Remote sensing is
          a viable tool for mapping soil salinity in agricultural lands
        </li>
        <li>
          [12] Jianguo L I , Lijie P U , Han M , et al. Soil salinization
          research in China: Advances and prospects[J]. 地理学报(英文版),
          2014, 24(5):943-960.
        </li>
        <li>
          [13] Da Liakopoulos I N , Tsanis I K , Koutroulis A , et al. The
          threat of soil salinity: A European scale review[J]. Science of the
          Total Environment, 2016, 573:727-739.
        </li>
        <li>
          [14] 张洪宇. 海兴县盐碱地现状及改良措施[J]. 现代农村科技, 2020,
          No.591(11):60-60.
        </li>
        <li>
          [15] 马赞留, 戴云新, 蔡红海,等. 江苏滨海地区盐碱地现状及改良措施[J].
          现代园艺, 2015, 000(014):189-190.
        </li>
        <li>
          [16] 张兴.
          天津滨海盐碱地地区土壤现状调查及绿化对策——以万科东丽湖度假区为例[J].
          天津农业科学, 2017(4).
        </li>
        <li>[17] 江杰, 王胜. 我国盐碱地成因及改良利用现状.</li>
        <li>
          [18] 杨立杰, 侯卓. 通榆县盐碱地时空分布与影响因素空间分布分析[J].
          黑龙江科技信息, 2014(12):58-58.
        </li>
        <li>
          [19] 焦元波, 田夏一, 胡宝清.
          黄河三角洲盐碱地信息遥感提取及动态变化分析——以山东垦利县为例[J].
          大众科技, 2016, 18(012):31-34.
        </li>
      </ol>
    </section>
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